Speech Revolutions vs Deepgram
Deepgram is a broad voice platform: real-time streaming, voice agents and text-to-speech alongside transcription. We build one thing — batch transcription — and the difference that shows up in measurement is speaker diarization.
Where we differ measurably is speaker diarization — telling apart who said what — and that gap is large enough to decide the question for meetings, interviews and contact-centre audio.
Diarization error rate
Lower is better. Overlap-aware at a 0.25 s collar, on public datasets, measured 2026-07-12 against Deepgram (nova-3).
| Dataset | Speech Revolutions | Deepgram |
|---|---|---|
| AMI-SDM | 9.7% | 30.9% |
| NotSoFar | 10.9% | 28.4% |
| DiPCo | 26.7% | 64.2% |
The harness that produced these is public, and so are the datasets — so this is a number you can reproduce or contest rather than take on trust. Full benchmarks and methodology.
Differences that matter in practice
| Speech Revolutions | Deepgram | |
|---|---|---|
| Real-time streaming | Not offered. Batch only. | Yes — their core strength. |
| Diarization | Included, and the thing we are best at. | Included. |
| Language handling | Always auto-detects, including switching mid-file. | A language parameter, or detect_language to auto-detect. |
| Speaker format | Strings — SPEAKER_1, SPEAKER_2 — plus grouped turns. | Integers per word. |
Pricing
We charge $0.003 per audio minute — $0.18 an hour — with speaker diarization, word timestamps, punctuation and keyword biasing included rather than priced separately.
We deliberately do not quote Deepgram's prices here. They are tiered, they change without notice, and a stale number on a page like this is worse than no number at all. The comparison worth making is the effective cost of one audio hour with the features you actually need switched on — check theirs against ours directly.
What switching involves
Auth moves from a Token header to X-API-Key, the endpoint changes, and speakers arrive as strings with utterances already grouped. The SDKs ship a to_deepgram() adapter that hands back the integer shape, so a response parser can often stay as it is.
The migration guide maps every field, side by side, in four languages.